data-science-tools
CommunityDocument and reuse data science libraries and best practices.
Authormikkelkrogsholm
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill documents the available data science libraries and enforces best practices for organizing and reproducing analyses.
Core Features & Use Cases
- Library catalog: List installed libraries (numpy, scipy, pandas, scikit-learn) and their purposes.
- Project structure guidance: Emphasizes placing analysis scripts under reports/{topic}/scripts/ for reproducibility.
- Best practices: Reproducible workflows, virtual environments, and script organization.
Quick Start
Activate the virtual environment and run a sample analysis script from reports/{topic}_{timestamp}/scripts/.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-science-tools Download link: https://github.com/mikkelkrogsholm/dst-skills/archive/main.zip#data-science-tools Please download this .zip file, extract it, and install it in the .claude/skills/ directory.